Rahsi Copilot Trust Map™ | Why Governing AI Means Classifying Actions Not Just Content
We’ve spent years classifying documents.
Copilot quietly forced a harder question:
Who is allowed to do what to tenant truth from which identity, device, rail, and seam — and how do we prove it?
This piece is not another “Copilot is amazing” post.
It’s a control-plane map for when AI, Entra, Intune, Purview, SharePoint, Teams, Graph and CVE waves all collide in one place: your tenant’s action layer.
Inside the Rahsi Copilot Trust Map™ I break down:
- Why governing AI means classifying actions, not just content
- How identity rails, device trust, label behavior, sharing states and agents become write-paths, not features
- How to treat CVEs as blast-radius windows, not just patch tickets
- What “proof-first Copilot” looks like when auditors, CISOs and regulators ask: “Show us exactly how Copilot was allowed to act here.”
Inspired by the brilliant Microsoft stack.
No drama. No negativity toward Microsoft.
Just a quiet, surgical blueprint for anyone who believes Copilot should feel invisible, provable and boringly safe — even on your worst day.
If your job touches Azure, Microsoft 365, Copilot, security, compliance or architecture, I wrote this for you.
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